Use LLMs as participants in oTree experiments

An open-source, lightweight note-taking solution. The pain-less way to create your meaningful notes.

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

We are a group of researchers at the University of Michigan, Carnegie Mellon University and the University of Pittsburgh, working to find practical ways to motivate academic researchers who have pu…

Human generalization of LLMs

A field experiment on how to motivate domain experts to contribute to Wikipedia.

Awesome-LLM: a curated list of Large Language Model

📋 A list of open LLMs available for commercial use.

Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, D…

The official Python library for the OpenAI API

An AI agent powered by LLMs that streamlines the entire process of data analysis. 🚀

GPT-4 Enhanced with Real-Time Web Browsing 🔗

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

This project runs on users' browsers through the Tampermonkey script and converts the web version of ChatGPT operations into an API interface. This way, you can use GPT-4 in chatgpt web pages to pl…

Simple oTree app for interfacing a chat with OpenAI's API for ChatGPT.

Collection of modified snippets

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

Python framework for multiplayer decision games, behavioral experiments, and surveys

Code for Engel, Grossmann & Ockenfels

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)

Lime: Explaining the predictions of any machine learning classifier

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automat…

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Deep Batch Active Learning for Regression

Code for reproducing the experiments of the ICML 2019 paper "Robust Learning from Untrusted Sources"